101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2005 - Combined Name Rankings

About Distortion Index

The Distortion Index shows how much the ranking might be skewed by alternative spellings of the same pronunciation. A higher index (closer to 1.0) means the main name represents a smaller portion of the total, indicating the ranking could be misleading. A lower index (closer to 0.0) means the main name dominates, making the ranking more accurate.

Low Distortion (0.07): Jayden (1,000) + Zayden (50) + Jaden (30) = Main name dominates
High Distortion (0.91): Jayden (100) + Zayden (800) + Jaden (200) = Alternative spellings dominate
Distortion Index Color Guide:
0.0-0.29 Low Distortion (Green) - Main name dominates
0.3-0.69 Medium Distortion (Orange) - Moderate alternative spellings
0.7-1.0 High Distortion (Red) - Alternative spellings dominate
Rank Adjustment Explanation:

Adjusted Rank: The primary rank shown reflects the combined count of all similar pronunciation names, providing a more accurate representation of the name's true popularity. Original Rank: The rank in parentheses shows the original ranking based on the main name only, before grouping similar pronunciations.

Rank Change Indicators:
📈 Rank improved (moved up)
📉 Rank declined (moved down)
➡️ Rank unchanged

Advanced Pronunciation Algorithm

We've developed a revolutionary pronunciation comparison algorithm that intelligently groups baby names with similar sounds and pronunciations. Our sophisticated system automatically corrects common typos and misspellings, ensuring accurate name grouping based on phonetic similarity rather than just spelling.

This cutting-edge algorithm uses advanced phonetic analysis to identify names that sound alike but may have different spellings, providing you with the most comprehensive and accurate baby name rankings by pronunciation. 💡 Understanding the Distortion Index is crucial for interpreting these results accurately. While our algorithm is highly accurate, if you notice any grouping errors, please let us know and we'll promptly resolve them.

🔍 Intelligent phonetic analysis and grouping
✏️ Automatic typo correction and misspelling detection
🎯 Accurate pronunciation-based name categorization

Boy Names

Ranking Name Distortion Index Count
101 📈
(Org: 138)
(4,333)
0.34 4,333
102 📈
(Org: 114)
(4,318)
0.18 4,318
103 📈
(Org: 109)
(4,265)
0.08 4,265
104 📉
(Org: 102)
(4,229)
0.01 4,229
105 📉
(Org: 104)
(4,170)
0 4,170
106 📉
(Org: 103)
(4,167)
0 4,167
107 📉
(Org: 105)
(4,145)
0 4,145
108 📉
(Org: 107)
(4,069)
- 4,069
109 📉
(Org: 108)
(4,061)
0 4,061
110 📈
(Org: 112)
(3,845)
0.04 3,845
111 📈
(Org: 124)
(3,836)
0.15 3,836
112 📉
(Org: 110)
(3,821)
0.01 3,821
113 📉
(Org: 111)
(3,796)
0.01 3,796
114 📉
(Org: 113)
(3,729)
0.04 3,729
115 📈
(Org: 194)
(3,722)
0.46 3,722
116 📈
(Org: 142)
(3,638)
0.25 3,638
117 📉
(Org: 115)
(3,624)
0.04 3,624
118 📈
(Org: 155)
(3,559)
0.25 3,559
119 📉
(Org: 117)
(3,542)
0.02 3,542
120 ➡️
(Org: 120)
(3,495)
0.03 3,495
121 📉
(Org: 116)
(3,481)
0 3,481
122 📉
(Org: 118)
(3,447)
0 3,447
123 📉
(Org: 119)
(3,404)
- 3,404
124 📉
(Org: 122)
(3,400)
0.01 3,400
125 📈
(Org: 171)
(3,321)
0.27 3,321
126 📉
(Org: 123)
(3,305)
0.01 3,305
127 📉
(Org: 125)
(3,278)
0.01 3,278
128 📉
(Org: 126)
(3,239)
- 3,239
129 📉
(Org: 128)
(3,210)
0 3,210
130 📉
(Org: 129)
(3,180)
- 3,180
131 📉
(Org: 130)
(3,145)
- 3,145
132 ➡️
(Org: 132)
(3,102)
0.02 3,102
133 📈
(Org: 151)
(3,078)
0.12 3,078
134 📉
(Org: 131)
(3,075)
- 3,075
135 📈
(Org: 137)
(3,067)
0.05 3,067
136 📉
(Org: 135)
(2,979)
0 2,979
137 📉
(Org: 134)
(2,975)
- 2,975
138 📈
(Org: 161)
(2,936)
0.13 2,936
139 📈
(Org: 213)
(2,933)
0.42 2,933
140 📈
(Org: 150)
(2,897)
0.06 2,897
141 📈
(Org: 152)
(2,888)
0.07 2,888
142 📉
(Org: 139)
(2,850)
0.01 2,850
143 📈
(Org: 147)
(2,847)
0.04 2,847
144 📈
(Org: 208)
(2,843)
0.37 2,843
145 📉
(Org: 140)
(2,834)
0.01 2,834
146 📈
(Org: 210)
(2,819)
0.38 2,819
147 📉
(Org: 144)
(2,803)
0.02 2,803
148 📈
(Org: 169)
(2,802)
0.13 2,802
149 📉
(Org: 141)
(2,798)
0.01 2,798
150 📉
(Org: 146)
(2,728)
- 2,728
151 📉
(Org: 149)
(2,718)
- 2,718
152 📈
(Org: 153)
(2,672)
0 2,672
153 📈
(Org: 166)
(2,663)
0.08 2,663
154 ➡️
(Org: 154)
(2,658)
- 2,658
155 📈
(Org: 159)
(2,651)
0.03 2,651
156 📈
(Org: 157)
(2,649)
0.01 2,649
157 📈
(Org: 173)
(2,630)
0.08 2,630
158 ➡️
(Org: 158)
(2,600)
- 2,600
159 📈
(Org: 165)
(2,578)
0.03 2,578
160 ➡️
(Org: 160)
(2,574)
- 2,574
161 ➡️
(Org: 161)
(2,570)
0.01 2,570
162 📈
(Org: 193)
(2,562)
0.21 2,562
163 ➡️
(Org: 163)
(2,545)
0.01 2,545
164 ➡️
(Org: 164)
(2,508)
0 2,508
165 📈
(Org: 250)
(2,497)
0.47 2,497
166 📈
(Org: 167)
(2,464)
0 2,464
167 📈
(Org: 185)
(2,455)
0.11 2,455
168 ➡️
(Org: 168)
(2,453)
- 2,453
169 📈
(Org: 170)
(2,440)
- 2,440
170 📈
(Org: 195)
(2,429)
0.18 2,429
171 📈
(Org: 268)
(2,370)
0.48 2,370
172 📈
(Org: 175)
(2,368)
- 2,368
173 📈
(Org: 176)
(2,360)
- 2,360
174 📈
(Org: 177)
(2,346)
0.01 2,346
175 📈
(Org: 178)
(2,331)
0.01 2,331
176 📈
(Org: 179)
(2,309)
0 2,309
177 📈
(Org: 180)
(2,308)
0.02 2,308
178 📈
(Org: 189)
(2,259)
0.06 2,259
179 📈
(Org: 192)
(2,252)
0.09 2,252
180 📈
(Org: 187)
(2,232)
0.05 2,232
181 📈
(Org: 184)
(2,229)
0 2,229
182 📈
(Org: 191)
(2,187)
0.04 2,187
183 📈
(Org: 188)
(2,158)
0.02 2,158
184 📈
(Org: 186)
(2,151)
0 2,151
185 📈
(Org: 279)
(2,113)
0.43 2,113
186 📈
(Org: 190)
(2,104)
- 2,104
187 📈
(Org: 240)
(2,094)
0.33 2,094
188 📈
(Org: 220)
(2,093)
0.23 2,093
189 📈
(Org: 197)
(1,976)
0.01 1,976
190 📈
(Org: 196)
(1,969)
- 1,969
191 📈
(Org: 198)
(1,961)
0.01 1,961
192 📈
(Org: 198)
(1,950)
- 1,950
193 📈
(Org: 242)
(1,946)
0.29 1,946
194 📈
(Org: 201)
(1,936)
0 1,936
195 📈
(Org: 202)
(1,933)
0.02 1,933
196 📈
(Org: 204)
(1,877)
- 1,877
197 📈
(Org: 254)
(1,871)
0.3 1,871
198 📈
(Org: 205)
(1,866)
- 1,866
198 📈
(Org: 206)
(1,866)
0.02 1,866
200 📈
(Org: 217)
(1,849)
0.1 1,849